Qlik Sense Review

It can analyze huge quantities of data. Predictive analysis is still not available.


Valuable Features

It uses an associative engine + an in-memory environment:

  • I don't have to calculate hypercubes.
  • Allows data exploration in directions not predefined.
  • Can analyze huge quantities of data.

Room for Improvement

Predictive analysis is still not available and we need a different approach toward data analysis.

Use of Solution

We have been using Qlik Sense for a few months, and QlikView for four years.

Deployment Issues

We only encountered deployment issues with Qlik Sense Server, because it's an enterprise product and needs to be strongly configured.

Scalability Issues

We had no problems with scaling.

Customer Service and Technical Support

Technical support is poor: We definitely use community support.

Previous Solutions

I used Pentaho and SpagoBI for a while, but they were unstable, due to Java versions and application server environments (Tomcat, GlassFish, NetBeans and so on).

Initial Setup

For Qlik, we started with very simple setups. Then, through strong field experience, we approached more complex scenarios.

Implementation Team

We implemented it in-house. We designed a set of implementation rules.

ROI

ROI is good because of short time-to-market.

Pricing, Setup Cost and Licensing

Pricing is according to Qlik license fees and an applied partner discount.

Other Advice

Take practice courses and use community suggestions.

Disclosure: My company has a business relationship with this vendor other than being a customer: My company, Ethica System s.r.l., is a Qlik Partner and reseller
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